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--- |
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base_model: |
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- meta-llama/Meta-Llama-3-8B-Instruct |
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- failspy/Llama-3-8B-Instruct-MopeyMule |
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- nerdigent/L3.1-BlueSkyy-8B |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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Just an experiment using the same merge recipe as [grimjim/Llama-3-Perky-Pat-Instruct-8B](https://huggingface.co/grimjim/Llama-3-Perky-Pat-Instruct-8B) |
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This version uses the original Llama 3 8b as a base model. I also tried this merge with 3.1 as a base, but after some quick tests I prefer this one. |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [failspy/Llama-3-8B-Instruct-MopeyMule](https://huggingface.co/failspy/Llama-3-8B-Instruct-MopeyMule) |
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* [nerdigent/L3.1-BlueSkyy-8B](https://huggingface.co/nerdigent/L3.1-BlueSkyy-8B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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dtype: bfloat16 |
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merge_method: task_arithmetic |
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parameters: |
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normalize: false |
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slices: |
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- sources: |
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- layer_range: [0, 32] |
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model: meta-llama/Meta-Llama-3-8B-Instruct |
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- layer_range: [0, 32] |
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model: nerdigent/L3.1-BlueSkyy-8B |
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parameters: |
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weight: 1.0 |
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- layer_range: [0, 32] |
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model: failspy/Llama-3-8B-Instruct-MopeyMule |
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parameters: |
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weight: -1.0 |
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``` |
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